Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 1 to 77 (from 77) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*51:01-DRB1*11:01-DQB1*03:01  Iran Yazd 2.678656
 2  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 1.6130124
 3  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 1.4000215
 4  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 1.1765170
 5  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQA1*01:02-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 6  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 7  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.4400975
 8  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 9  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*11:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 10  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 11  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 12  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 13  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.21601,159
 14  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 15  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.18701,999
 16  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 17  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.14504,856
 18  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.13102,411
 19  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.12945,926
 20  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 21  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 22  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.12372,403
 23  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.12204,856
 24  A*02:01:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.11381,510
 25  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.10904,856
 26  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 27  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.10093,456,066
 28  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0934570
 29  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.088923,595
 30  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.076623,595
 31  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 32  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0671221
 33  A*02:01:01:01-B*51:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 34  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.05925,849
 35  A*02:01-B*51:01-C*15:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05804,856
 36  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05651,075
 37  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 38  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05104,856
 39  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04764,204
 40  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 41  A*02:01-B*51:01-C*15:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 42  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 43  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 44  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 45  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04043,456,066
 46  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.039723,595
 47  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.037211,446
 48  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.03493,456,066
 49  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03463,456,066
 50  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.03402,492
 51  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 52  A*02:01:01:01-B*51:01:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 53  A*02:01:01:01-B*51:01:01-C*02:29-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*02:01:01:01-B*51:01:01-C*15:06:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 55  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.03303,456,066
 56  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 57  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.027223,595
 58  A*02:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.02545,829
 59  A*02:01-B*51:01-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02404,856
 60  A*02:01-B*51:01-C*15:07-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 61  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01803,456,066
 62  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01653,456,066
 63  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01263,456,066
 64  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01243,456,066
 65  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01173,456,066
 66  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01063,456,066
 67  A*02:01-B*51:01-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*16:01  Germany DKMS - German donors 0.01033,456,066
 68  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01003,456,066
 69  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01005,849
 70  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00965,849
 71  A*02:01-B*51:01-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00895,829
 72  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.006411,446
 73  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 74  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005223,595
 75  A*02:01-B*51:01-C*15:07-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 76  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002423,595
 77  A*02:01:01-B*51:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002323,595

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).




   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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